{"id":"W6903126535","doi":"10.7916/d8-hr5h-br36","title":"Carnegie Public Library, St. Marys, Canada","year":2018,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Public policy; Agency (philosophy); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007669323,0.0007525778,0.000742638,0.002400531,0.01422589,0.007477735,0.001258131,0.002206274,0.4833303],"category_scores_gemma":[0.003439135,0.0009072868,0.0003665712,0.003760393,0.001570651,0.002384141,0.001651333,0.001986118,0.1232854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02452216,"about_ca_system_score_gemma":0.06020884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9118665,"about_ca_topic_score_gemma":0.9852986,"domain_scores_codex":[0.9989887,0.00006983541,0.00004306203,0.0002050879,0.0005309678,0.0001622112],"domain_scores_gemma":[0.9957494,0.0004615459,0.00008536186,0.0001658135,0.002656363,0.0008815293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001408673,0.00007542732,0.003446547,0.0004104135,0.00001890831,0.0004503703,0.0008805823,0.0002651995,0.0007927296,0.01550693,0.8673358,0.1106762],"study_design_scores_gemma":[0.00001550561,0.00001604271,0.01499735,0.0003575564,0.00001413696,0.00009584479,0.002360253,0.0002494275,0.0005802142,0.001092596,0.9801726,0.0000484721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009170343,0.00949824,0.0009830229,0.02200815,0.0008668283,0.0001540325,0.01991009,0.001165907,0.9362434],"genre_scores_gemma":[0.008222654,0.004301891,0.0009720079,0.00063837,0.0000269366,0.00002376036,0.001455935,0.0002019444,0.9841564],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4833303,"threshold_uncertainty_score":0.7369666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02940010715401296,"score_gpt":0.2325338163600879,"score_spread":0.2031337092060749,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}